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Proceedings of 2011 International Conference on Modelling, Identification and Control最新文献

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Multiple nonholonomic mobile robots formation coordinated control in obstacles environment 障碍物环境下多非完整移动机器人编队协调控制
Xiujuan Zheng, Huaiyu Wu, Lei Cheng, Yu-li Zhang
This paper addresses the formation coordinated control problem of nonholonomic mobile robots in obstacles environment. Based on each robot formation feedback between itself and its virtual structure and artificial potential field method, a decentralized controller is designed to maintain the formation to effectively track the target with desired velocities and avoid collisions. The formation control stability is proved with Lyapunov stability theory as well. Finally, the validity of the proposed formation controller is demonstrated with experiment simulation results in the case of six followers.
研究了障碍物环境下非完整移动机器人的编队协调控制问题。基于机器人自身与虚拟结构之间的编队反馈,结合人工势场法,设计了分散控制器,保持机器人的编队,有效跟踪目标,使其达到期望速度,避免碰撞。并用李雅普诺夫稳定性理论证明了编队控制的稳定性。最后,通过6个follower的实验仿真结果验证了所提编队控制器的有效性。
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引用次数: 7
Adaptive tracking control with quantized output observations and single unknown parameter 具有量化输出观测值和单未知参数的自适应跟踪控制
Jin Guo, Ji-feng Zhang, Yanlong Zhao
This paper studies the adaptive tracking control for systems with quantized output observations and one unknown parameter. A projection algorithm is proposed for parameter identification, based on which an adaptive control law is designed via the certainty equivalence principle. By use of the conditional expectation of the quantized observation with respect to the estimates, it is shown that the identification algorithm is both almost surely and mean square convergent, the closed-loop system is stable, and the adaptive tracking control is asymptotically optimal.
研究了具有量化输出观测值和一个未知参数的系统的自适应跟踪控制。提出了一种用于参数辨识的投影算法,在此基础上利用确定性等价原理设计了自适应控制律。利用量化观测值相对于估计的条件期望,证明了该辨识算法几乎肯定且均方收敛,闭环系统是稳定的,自适应跟踪控制是渐近最优的。
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引用次数: 2
Social learning on networks with community structure 基于社区结构网络的社会学习
He Huang, Yucheng Wei, Xiaofan Wang
Almost all existing social learning models assume that there is only one type of agents in the society in order to avoid identification problem. In this work, we assume that there are various types of agents according to the communities they locate in. We design the rule of weight adjustment and testify that the updating rule with weight adjustment ensures learning on the whole social network. Furthermore, we show that how convergence speed is influenced by two updating-relevant parameters, and present instruction on how to attain the optimal social learning efficiency.
为了避免识别问题,几乎所有现有的社会学习模型都假设社会中只有一种类型的主体。在这项工作中,我们假设根据他们所在的社区有不同类型的代理。我们设计了权重调整规则,并证明了权重调整的更新规则保证了整个社会网络的学习。此外,我们展示了收敛速度如何受到两个更新相关参数的影响,并给出了如何达到最优社会学习效率的说明。
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引用次数: 1
Reliable recalibration of DC head skew in hard disk drives 可靠的重新校准直流磁头歪斜在硬盘驱动器
Y. Xiao, C. Zhang, X. Ge, J. N. Sun, X. Wang
In hard disk drives (HDDs), head skew error among multiple heads is pre-calibrated during manufacturing process. Due to environmental change or non-operating shock, additional head skew errors across stroke may be resulted in. In this paper, a reliable recalibration strategy of DC head skew error during servo startup is proposed, where a sector-dependent head-switching scheme for avoidance of wrong calibration is developed. Test results demonstrate its effectiveness to enhance drive performance post non-operating shock.
在硬盘驱动器(hdd)中,在制造过程中需要预先校准多个磁头之间的磁头倾斜误差。由于环境变化或非操作冲击,额外的头部歪斜误差跨行程可能导致。本文提出了一种可靠的伺服启动时直流磁头偏斜误差的再校准策略,并提出了一种扇形相关的磁头切换方案以避免错误校准。试验结果表明,该方法能有效提高非操作冲击后的驱动性能。
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引用次数: 2
Explicit MPC for multi-rate control systems 多速率控制系统的显式MPC
Y. Jiang, Yuanyuan Zou, Y. Niu
In this paper, explicit model predictive control (MPC) schemes for discrete-time linear-invariant multi-rate systems with constraints on inputs and states are studied. The optimization problem of multi-rate predictive control systems can be formulated by solving a multiparametric linear program (mp-LP), and the explicit state feedback control laws are developed. Further, based on the closed-loop multi-rate piecewise affine (PWA) structure, stability analysis is presented by linear matrix inequality (LMI). The simulation results show the effectiveness of the explicit MPC for multi-rate system.
研究了具有输入约束和状态约束的离散时间线性不变多速率系统的显式模型预测控制(MPC)方案。通过求解多参数线性规划(mp-LP),提出了多速率预测控制系统的优化问题,并建立了显式状态反馈控制律。进一步,基于闭环多速率分段仿射(PWA)结构,利用线性矩阵不等式(LMI)对其稳定性进行了分析。仿真结果表明了显式MPC在多速率系统中的有效性。
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引用次数: 1
The statistical research of human dynamics on correspondence 人类通信动态的统计研究
Shaocheng Qu, Qinqin Wang, Li Wang
Studies on temporal statistics of human behavior not only contribute to a profound understanding of complexity of socio-economic system and human beings, but they are also crucial for better resource allocation and pricing plans for phone companies, to improve inventory and service allocation in both online and street retail. In recent years, some statistical research on human correspondence has proven that the inter-event time distribution satisfies a power law, but the judgment for scaling exponent is still controversial. In this paper, we collect communications data from Sui Gu and Van Gogh and find the inter-event time distribution fits a power law with exponent 1.5, which is in accordance with Barabási's conclusion. In addition, the inter-event time distribution about two men's letters for 5 consecutive years also follows Power-law distribution with the same exponent.
人类行为的时间统计研究不仅有助于深刻理解社会经济系统和人类的复杂性,而且对于电话公司更好地配置资源和定价计划,改善在线和街头零售的库存和服务分配至关重要。近年来,一些关于人类通信的统计研究已经证明了事件间时间分布满足幂律,但对于标度指数的判断仍存在争议。在本文中,我们收集了隋谷和梵高的通信数据,发现事件间时间分布符合指数为1.5的幂律,这与Barabási的结论一致。另外,两个人连续5年书信的事件间时间分布也遵循幂律分布,且指数相同。
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引用次数: 3
Optimal control for linear time-varying systems with multiple time-delays 多时滞线性时变系统的最优控制
Hai-Lin Liu, G. Tang, Shiyuan Han
This paper considers the optimal control problem of a class of linear time-varying systems with multiple time-delays. A novel design approach to the optimal control law is proposed. By constructing a new state vector, the original system model and the performance index are simplified to equivalent ones without time-delay. So the infinite dimension problem of optimal control for systems with time-delays is avoided. The optimal control law is found by solving a matrix differential equation instead of a two-point boundary value problem, Simulation results demonstrate the effectiveness of the optimal control approach.
研究一类多时滞线性时变系统的最优控制问题。提出了一种新的最优控制律设计方法。通过构造新的状态向量,将原有的系统模型和性能指标简化为没有时滞的等效模型和性能指标。从而避免了时滞系统的无穷维最优控制问题。通过求解矩阵微分方程而不是两点边值问题来找到最优控制律,仿真结果证明了该最优控制方法的有效性。
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引用次数: 3
Numerical simulation of local response of ship in underwater explosive shock 水下爆炸冲击中船舶局部响应的数值模拟
A. Zhu-Feng, B. Zhu-WeiHua, C. Kong-XiangZhen, D. Peng-ji, E. Lin-BiHui
Based on the finite element analysis with centered finite difference, this paper focuses on the underwater explosives, and the response of outer side armor of the ship under its impact. Investigating the linear placed cartridge Dynamite Explosion on different positions at the same depth in the water in the course of the study. And got the local displacement of ship plate and local stress and strain increase with time changes, the study gives the relationship between certain amount of Local maximum displacement of the armored ship and center of the explosion to the ship's side. The results show that: ALE method is applicable to solve the explosion problem in the Solid-fluid coupling which can better simulate and forecast the structure response under the nonlinear dynamic of blast.
基于中心有限差分法的有限元分析方法,研究了水下炸药及其对舰船外装甲的影响。在研究过程中,对同一水深不同位置的线性放置装药炸药爆炸进行了研究。得到了船板局部位移和局部应力应变随时间变化的变化规律,给出了装甲船一定的局部最大位移与船侧爆炸中心的关系。结果表明:ALE方法适用于固流耦合爆炸问题,能较好地模拟和预测结构在非线性爆炸动力作用下的响应。
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引用次数: 5
An optimized algorithm for the identification of isomorphic undirected graphs 一种同构无向图识别的优化算法
Huiliang Shang, Jichuan Li, Qi Cai, Wenjie Dong
This paper presents an approach to graph isomorphism identification. The approach is an optimized version of the circuit simulation method, which we proposed in one previous paper. Both the optimized and the original methods solve the graph isomorphism problem through circuit modeling and simulation. The simulation result, a series of node voltages, is taken as the identification index for a graph and isomorphism is determined by comparing the indices of two graphs. In general, circuit simulation needs a reference node. In the original method, each vertex takes turns to serve as reference, which leads to inconvenience and complexity in computation; in the optimized version, an extra vertex is added to the graph to work as a reference node in the circuit, which simplifies computation and the form of identification index, thus enhancing the efficiency. Both methods are tested on a large number of random undirected graphs generated by the computer and the experiment result shows that the runtime of the optimized method is much lower than that of the original one.
本文提出了一种图同构识别的方法。该方法是我们在之前的一篇论文中提出的电路仿真方法的优化版本。优化方法和原始方法都通过电路建模和仿真解决了图同构问题。将仿真结果,即一系列节点电压作为图的识别指标,通过比较两个图的指标来确定同构。一般来说,电路仿真需要一个参考节点。在原方法中,每个顶点轮流作为参考点,这给计算带来不便和复杂性;在优化版本中,图中增加了一个额外的顶点作为电路中的参考节点,简化了计算和识别索引的形式,从而提高了效率。在计算机生成的大量随机无向图上对两种方法进行了测试,实验结果表明,优化后的方法的运行时间大大低于原方法。
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引用次数: 4
Self-tuning of PID controller based on process operational data 基于过程运行数据的PID控制器自整定
Quan-shan Li, Liulin Cao, Lideng Pan, Xiaolin Lin, J. Cui
In this work, a novel algorithm for the self-tuning PID parameters by using process operational data is proposed. A feasible data set is achieved on the basis of dynamic characteristic of PID control loop. With defined ε-insensitive loss function and identification confidence function, the valid data set for model identification is selected from the feasible data set. The valid data set is used to model process objects and then a PID parameters tuning method is given which has a multiple models structure. By using developed optimal stochastic Luus-Jaakola algorithm, an optimized PID controller is obtained which has a perfect effect for all the models. The work of the algorithm does not require staff participation, and the obtained PID parameters can be directly applied to the control loop without a further adjustment. This algorithm has been used in many production plants successfully, and produced satisfactory results. The actual results show that this is a practical algorithm of PID parameter tuning with obvious advantages of simple use and convenient promotion.
本文提出了一种利用过程运行数据自整定PID参数的新算法。根据PID控制回路的动态特性,得到了可行的数据集。通过定义ε-不敏感损失函数和识别置信函数,从可行数据集中选择模型识别的有效数据集。利用有效数据集对过程对象进行建模,给出了一种具有多模型结构的PID参数整定方法。采用所开发的最优随机Luus-Jaakola算法,得到了对所有模型都有较好效果的优化PID控制器。该算法的工作不需要人员参与,得到的PID参数可以直接应用于控制回路,无需进一步调整。该算法已成功应用于多家生产工厂,取得了满意的效果。实际结果表明,这是一种实用的PID参数整定算法,使用简单,推广方便。
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Proceedings of 2011 International Conference on Modelling, Identification and Control
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